Profile plots of promoters, enhancders and significant peaks
determined by DESeq2.
bw_dir <- "/Volumes/DATA/DATA/Puck/bigwig/"
library("wigglescout")
library("ggpubr")
Loading required package: ggplot2
library("ggplot2")
library("DESeq2")
Loading required package: S4Vectors
Warning: package ‘S4Vectors’ was built under R version 4.2.2Loading required package: stats4
Loading required package: BiocGenerics
Attaching package: ‘BiocGenerics’
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anyDuplicated, aperm, append, as.data.frame, basename, cbind, colnames,
dirname, do.call, duplicated, eval, evalq, Filter, Find, get, grep, grepl,
intersect, is.unsorted, lapply, Map, mapply, match, mget, order, paste, pmax,
pmax.int, pmin, pmin.int, Position, rank, rbind, Reduce, rownames, sapply,
setdiff, sort, table, tapply, union, unique, unsplit, which.max, which.min
Attaching package: ‘S4Vectors’
The following objects are masked from ‘package:base’:
expand.grid, I, unname
Loading required package: IRanges
Loading required package: GenomicRanges
Warning: package ‘GenomicRanges’ was built under R version 4.2.2Loading required package: GenomeInfoDb
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colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse, colCounts,
colCummaxs, colCummins, colCumprods, colCumsums, colDiffs, colIQRDiffs,
colIQRs, colLogSumExps, colMadDiffs, colMads, colMaxs, colMeans2, colMedians,
colMins, colOrderStats, colProds, colQuantiles, colRanges, colRanks,
colSdDiffs, colSds, colSums2, colTabulates, colVarDiffs, colVars,
colWeightedMads, colWeightedMeans, colWeightedMedians, colWeightedSds,
colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet, rowCollapse,
rowCounts, rowCummaxs, rowCummins, rowCumprods, rowCumsums, rowDiffs,
rowIQRDiffs, rowIQRs, rowLogSumExps, rowMadDiffs, rowMads, rowMaxs, rowMeans2,
rowMedians, rowMins, rowOrderStats, rowProds, rowQuantiles, rowRanges,
rowRanks, rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
rowWeightedMads, rowWeightedMeans, rowWeightedMedians, rowWeightedSds,
rowWeightedVars
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with 'browseVignettes()'. To
cite Bioconductor, see 'citation("Biobase")', and for packages
'citation("pkgname")'.
Attaching package: ‘Biobase’
The following object is masked from ‘package:MatrixGenerics’:
rowMedians
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anyMissing, rowMedians
library("dplyr")
Attaching package: ‘dplyr’
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combine
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first, intersect, rename, setdiff, setequal, union
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combine, intersect, setdiff, union
The following objects are masked from ‘package:stats’:
filter, lag
The following objects are masked from ‘package:base’:
intersect, setdiff, setequal, union
library("ggrastr")
clean <- function (fn) {
fn <- gsub(pattern = ".+/", "", x = fn)
fn <- gsub(pattern = ".mm9.+", "", x = fn)
fn <- gsub(pattern = ".mm39.+", "", x = fn)
fn <- gsub(pattern = "_S.+", "", x = fn)
fn <- gsub(pattern = "_combined.+", "", x = fn)
fn <- gsub(pattern = "G4 CnT ", "", x = fn)
fn <- gsub(pattern = "_batch2", "", x = fn)
fn <- gsub(pattern = "-", " ", x = fn)
fn <- gsub(pattern = "_", " ", x = fn)
fn <- gsub(pattern = " HA ", " ", x = fn)
fn <- gsub(pattern = "D1D6", "FANCJ-/-", x = fn)
fn <- gsub(pattern = "P2D2", "DHX36-/-", x = fn)
fn <- gsub(pattern = "P3D4", "FANCJ-/-DHX36-/-", x = fn)
return(fn)
}
BWs <- paste0(bw_dir,list.files(bw_dir,pattern="G4_.+_combined.bw"))
mypal <-c("cornflowerblue","orange","red2","#505050")
mypal3 <-c("cornflowerblue","cornflowerblue","cornflowerblue","orange","orange","orange","red2","red","red2","black","black","black")
mypal2 <-c("cornflowerblue","cornflowerblue","orange","orange","red2","red","black","black")
#non-significant Peaks

Active Enhancers


ggsave("plots/profile_G4_DHX36.pdf",plot_profile_G4_DHX36,width = 3, height= 3)
ggsave("plots/profile_G4_FANCJ.pdf",plot_profile_G4_FANCJ,width = 3, height= 3)
ggsave("plots/profile_G4_DKO.pdf",plot_profile_G4_DKO,width = 3, height= 3)
ggsave("plots/profile_G4_nonsig.pdf",plot_profile_G4_nonsig,width = 3, height= 3)
ggsave("plots/profile_G4_ProAct.pdf",plot_profile_G4_proact,width = 3, height= 3)
Error in plot_theme(plot) : object 'plot_profile_G4_proact' not found
Heatmaps

ggsave("panels/heatmap_G4.pdf",plot_heatmap_G4,width = 6, height= 3)
library(cowplot)
Attaching package: ‘cowplot’
The following object is masked from ‘package:ggpubr’:
get_legend
p <- ggdraw() +
draw_plot(plot_profile_G4_DHX36, x = 0, y = 0, width = .33, height = 1) +
draw_plot(plot_profile_G4_nonsig, x = .33, y = 0, width = .33, height = 1) +
draw_plot(plot_profile_G4_enhact, x = 0.66, y = 0, width = .33, height = 1)
p

ggsave("panels/profiles_G4_peak_enh.pdf",p,width=8, height=3)
p <- ggdraw() +
draw_plot(plot_heatmap_G4, x = .0, y = 0, width = .5, height = 1) +
draw_plot(plot_profile_G4_DHX36, x = .5, y = 0.5, width = .25, height = .5) +
draw_plot(plot_profile_G4_FANCJ, x = .5, y = 0, width = .25, height = .5) +
draw_plot(plot_profile_G4_DKO, x = .75, y = 0.5, width = .25, height = .5) +
draw_plot(plot_profile_G4_nonsig, x = 0.75, y = 0, width = .25, height = .5)
p

ggsave("panels/heatmap_G4_peaks.pdf",p,width=10, height=5)
p <- ggdraw() +
draw_plot(plot_heatmap_G4, x = .0, y = 0, width = .5, height = 1) +
draw_plot(plot_profile_G4_DKO, x = .5, y = 0.5, width = .25, height = .5) +
draw_plot(plot_profile_G4_nonsig, x = .5, y = 0, width = .25, height = .5) +
draw_plot(plot_profile_G4_proact, x = .75, y = 0.5, width = .25, height = .5) +
draw_plot(plot_profile_G4_enhact, x = 0.75, y = 0, width = .25, height = .5)
p

ggsave("panels/heatmap_G4_peaks_pro_enh.pdf",p,width=10, height=5)
R loops




ggsave("plots/profile_Rloop_DHX36.pdf",plot_profile_Rloop_DHX36,width = 3, height= 3)
ggsave("plots/profile_Rloop_FANCJ.pdf",plot_profile_Rloop_FANCJ,width = 3, height= 3)
ggsave("plots/profile_Rloop_DKO.pdf",plot_profile_Rloop_DKO,width = 3, height= 3)
ggsave("plots/profile_Rloop_nonsig.pdf",plot_profile_Rloop_nonsig,width = 3, height= 3)

p <- ggdraw() +
draw_plot(plot_heatmap_Rloop, x = .0, y = 0, width = .5, height = 1) +
draw_plot(plot_profile_Rloop_DHX36, x = .5, y = 0.5, width = .25, height = .5) +
draw_plot(plot_profile_Rloop_FANCJ, x = .5, y = 0, width = .25, height = .5) +
draw_plot(plot_profile_Rloop_DKO, x = .75, y = 0.5, width = .25, height = .5) +
draw_plot(plot_profile_Rloop_nonsig, x = 0.75, y = 0, width = .25, height = .5)
p

ggsave("panels/peak_Rloop_heatmap.pdf",p,width=10, height=5)
p <- ggdraw() +
draw_plot(plot_profile_Rloop_DHX36, x = 0, y = 0, width = .33, height = 1) +
draw_plot(plot_profile_Rloop_DKO, x = .33, y = 0, width = .33, height = 1) +
draw_plot(plot_profile_Rloop_nonsig, x = 0.66, y = 0, width = .33, height = 1)
p

ggsave("panels/peak_Rloop_profiles.pdf",p,width=8, height=3)

mdf <- melt(df)
ggviolin(mdf, x="variable",y="value",fill="variable",palette = mypal, add="mean_sd") +
coord_cartesian(ylim=c(0,15))
---
title: "G4 CUT&Tag analysis mESC (WT, FANCJ KO, DHX36 KO, DKO)"
output: html_notebook
---

Simon Elsässer, Karolinska Institutet (2023)

### Profile plots of promoters, enhancders and significant peaks determined by DESeq2.

```{r fig.width=6, fig.height=3}
bw_dir <- "/Volumes/DATA/DATA/Puck/bigwig/"

library("wigglescout")
library("ggpubr")
library("ggplot2")
library("DESeq2")
library("dplyr")
library("ggrastr")

clean <- function (fn) {
  fn <- gsub(pattern = ".+/", "", x = fn)
  fn <- gsub(pattern = ".mm9.+", "", x = fn)
  fn <- gsub(pattern = ".mm39.+", "", x = fn)
  fn <- gsub(pattern = "_S.+", "", x = fn)
  fn <- gsub(pattern = "_combined.+", "", x = fn)
  fn <- gsub(pattern = "G4 CnT ", "", x = fn)
  fn <- gsub(pattern = "_batch2", "", x = fn)
  fn <- gsub(pattern = "-", " ", x = fn)
  fn <- gsub(pattern = "_", " ", x = fn)
  fn <- gsub(pattern = " HA ", " ", x = fn)
  fn <- gsub(pattern = "D1D6", "FANCJ-/-", x = fn)
  fn <- gsub(pattern = "P2D2", "DHX36-/-", x = fn)
  fn <- gsub(pattern = "P3D4", "FANCJ-/-DHX36-/-", x = fn)
  return(fn)
}

BWs <- paste0(bw_dir,list.files(bw_dir,pattern="G4_.+_combined.bw"))

mypal <-c("cornflowerblue","orange","red2","#505050")
mypal3 <-c("cornflowerblue","cornflowerblue","cornflowerblue","orange","orange","orange","red2","red","red2","black","black","black")
mypal2 <-c("cornflowerblue","cornflowerblue","orange","orange","red2","red","black","black")
```

## DHX36-/- vs WT significant peaks
```{r fig.width=3, fig.height=3, error=F,echo=F,prompt=F,warning=F}
plot_profile_G4_DHX36 <- plot_bw_profile(bwfiles = BWs,loci = "../peaks/G4_CnT_combined_peaks_DESeq_DHX36_sig.bed", mode="center", labels = clean(BWs),show_error=T,colors = mypal, verbose=F) + scale_y_continuous(limits=c(0,40))
plot_profile_G4_DHX36
```


## FANCJ-/- vs WT significant peaks
```{r fig.width=3, fig.height=3, error=F,echo=F,prompt=F,warning=F}
plot_profile_G4_FANCJ <- plot_bw_profile(bwfiles = BWs,loci = "../peaks/G4_CnT_combined_peaks_DESeq_FANCJ_sig.bed", mode="center", labels = clean(BWs),show_error=T,colors = mypal, verbose=F) + scale_y_continuous(limits=c(0,40))
plot_profile_G4_FANCJ
```

## DKO-/- vs WT significant peaks
```{r fig.width=3, fig.height=3, error=F,echo=F,prompt=F,warning=F}
plot_profile_G4_DKO <- plot_bw_profile(bwfiles = BWs,loci = "../peaks/G4_CnT_combined_peaks_DESeq_DKO_sig.bed", mode="center", labels = clean(BWs),show_error=T,colors = mypal, verbose=F)  + scale_y_continuous(limits=c(0,40))
plot_profile_G4_DKO
```


## DKO-/- vs WT significant peaks
```{r fig.width=3, fig.height=3, error=F,echo=F,prompt=F,warning=F}
BWs <- paste0(bw_dir,list.files(bw_dir,pattern="G4_.+_combined.unique.bw"))
plot_bw_profile(bwfiles = BWs,loci = "../peaks/G4_CnT_combined_peaks_DESeq_DKO_sig_lfc_base_cutoff.bed", mode="center", labels = clean(BWs),show_error=T,colors = mypal, verbose=F)  + scale_y_continuous(limits=c(0,40))
```

## MACS peak intersect not called in WT
```{r fig.width=3, fig.height=3, error=F,echo=F,prompt=F,warning=F}
plot_bw_profile(bwfiles = BWs,loci = "../peaks/G4_combined_min3rep_not_WT.bed", mode="center", labels = clean(BWs),show_error=T,colors = mypal, verbose=F)
```
# #non-significant Peaks
```{r fig.width=3, fig.height=3, error=F,echo=F,prompt=F,warning=F}
plot_profile_G4_nonsig <- plot_bw_profile(bwfiles = BWs,loci = "../peaks/G4_CnT_combined_peaks_DESeq_nonsig.bed", mode="center", labels = clean(BWs),show_error=T,colors = mypal, verbose=F)  + scale_y_continuous(limits=c(0,40))
plot_profile_G4_nonsig
```

## Active Promoters
```{r fig.width=3, fig.height=3, error=F,echo=F,prompt=F,warning=F}
plot_profile_G4_proact <- plot_bw_profile(bwfiles = BWs,loci = "../genome/genes_hi_1-10kb.mm39.bed", mode="start", labels = clean(BWs),show_error=T,colors = mypal, verbose=F)
plot_profile_G4_proact
```
```{r fig.width=3, fig.height=3, error=F,echo=F,prompt=F,warning=F}
plot_profile_G4_probiv <- plot_bw_profile(bwfiles = BWs,loci = "../genome/K27_bivalent_genes.mm39.bed", mode="start", labels = clean(BWs),show_error=T,colors = mypal, verbose=F) + scale_y_continuous(limits=c(0,40))
plot_profile_G4_probiv
```

## Active Enhancers
```{r fig.width=3, fig.height=3, error=F,echo=F,prompt=F,warning=F}
plot_profile_G4_enhact <- plot_bw_profile(bwfiles = BWs,loci = "../genome/ESC_Enhancer_CruzMolina.active.mm39.bed", mode="center", labels = clean(BWs),show_error=T,colors = mypal, verbose=F) + scale_y_continuous(limits=c(0,40))
plot_profile_G4_enhact
```
```{r fig.width=3, fig.height=3, error=F,echo=F,prompt=F,warning=F}
plot_profile_G4_enhpri <- plot_bw_profile(bwfiles = BWs,loci = "../genome/ESC_Enhancer_CruzMolina.primed.mm39.bed", mode="center", labels = clean(BWs),show_error=T,colors = mypal, verbose=F) + scale_y_continuous(limits=c(0,25))
plot_profile_G4_enhpri
```

```{r fig.width=3, fig.height=3, error=F,echo=F,prompt=F,warning=F}
plot_profile_G4_enhpoi <- plot_bw_profile(bwfiles = BWs,loci = "../genome/ESC_Enhancer_CruzMolina.poised.mm39.bed", mode="center", labels = clean(BWs),show_error=T,colors = mypal, verbose=F) + scale_y_continuous(limits=c(0,40))
plot_profile_G4_enhpoi
```

```{r}
ggsave("plots/profile_G4_DHX36.pdf",plot_profile_G4_DHX36,width = 3, height= 3)
ggsave("plots/profile_G4_FANCJ.pdf",plot_profile_G4_FANCJ,width = 3, height= 3)
ggsave("plots/profile_G4_DKO.pdf",plot_profile_G4_DKO,width = 3, height= 3)
ggsave("plots/profile_G4_nonsig.pdf",plot_profile_G4_nonsig,width = 3, height= 3)
ggsave("plots/profile_G4_ProAct.pdf",plot_profile_G4_proact,width = 3, height= 3)
ggsave("plots/profile_G4_ProBiv.pdf",plot_profile_G4_probiv,width = 3, height= 3)
ggsave("plots/profile_G4_EnhAct.pdf",plot_profile_G4_enhact,width = 3, height= 3)
``` 

### Heatmaps

```{r fig.width=6, fig.height=3, error=F,echo=F,prompt=F,warning=F}
bed_src <- read.table("../peaks/G4_CnT_combined_peaks_DESeq_sig_categories.bed", header = F, sep = "\t")
h1 <- bw_heatmap(BWs[4],loci="../peaks/G4_CnT_combined_peaks_DESeq_sig_categories.bed", mode="center")
ord <- order(bed_src$V5 * 1000 + rowMeans(h1[[1]]))
zmax <- 40
p1 <- plot_bw_heatmap(BWs[4],"../peaks/G4_combined_min3rep.bed", mode="center", verbose=F,zmax = zmax, order_by = ord)
p2 <- plot_bw_heatmap(BWs[2],"../peaks/G4_combined_min3rep.bed", mode="center", verbose=F,zmax = zmax, order_by = ord)
p3 <- plot_bw_heatmap(BWs[1],"../peaks/G4_combined_min3rep.bed", mode="center", verbose=F,zmax = zmax, order_by = ord)
p4 <- plot_bw_heatmap(BWs[3],"../peaks/G4_combined_min3rep.bed", mode="center", verbose=F,zmax = zmax, order_by = ord)
df <- as.data.frame(table(bed_src$V5))
df$col=1
p5 <- ggbarplot(df,"col","Freq",fill="Var1", position = position_stack(reverse = TRUE), width = 0.1) + theme_void() + theme(legend.position = "none")
plot_heatmap_G4 <- ggarrange(p1,p2,p3,p4,p5,common.legend = T, ncol = 5)
plot_heatmap_G4
```

```{r}
ggsave("panels/heatmap_G4.pdf",plot_heatmap_G4,width = 6, height= 3)
``` 

```{r fig.width=8, fig.height=3}
library(cowplot)
p <- ggdraw() +
  draw_plot(plot_profile_G4_DHX36, x = 0, y = 0, width = .33, height = 1) +
  draw_plot(plot_profile_G4_nonsig, x = .33, y = 0, width = .33, height = 1) +
  draw_plot(plot_profile_G4_enhact, x = 0.66, y = 0, width = .33, height = 1)
p
ggsave("panels/profiles_G4_peak_enh.pdf",p,width=8, height=3)
```


```{r fig.width=10, fig.height=5}

p <- ggdraw() +
  draw_plot(plot_heatmap_G4, x = .0, y = 0, width = .5, height = 1) +
  draw_plot(plot_profile_G4_DHX36, x = .5, y = 0.5, width = .25, height = .5) +
  draw_plot(plot_profile_G4_FANCJ, x = .5, y = 0, width = .25, height = .5) +
  draw_plot(plot_profile_G4_DKO, x = .75, y = 0.5, width = .25, height = .5) +
  draw_plot(plot_profile_G4_nonsig, x = 0.75, y = 0, width = .25, height = .5)
p
ggsave("panels/heatmap_G4_peaks.pdf",p,width=10, height=5)
```

```{r fig.width=10, fig.height=5}

p <- ggdraw() +
  draw_plot(plot_heatmap_G4, x = .0, y = 0, width = .5, height = 1) +
  draw_plot(plot_profile_G4_DKO, x = .5, y = 0.5, width = .25, height = .5) +
  draw_plot(plot_profile_G4_nonsig, x = .5, y = 0, width = .25, height = .5) +
  draw_plot(plot_profile_G4_proact, x = .75, y = 0.5, width = .25, height = .5) +
  draw_plot(plot_profile_G4_enhact, x = 0.75, y = 0, width = .25, height = .5)
p
ggsave("panels/heatmap_G4_peaks_pro_enh.pdf",p,width=10, height=5)
```

## R loops


```{r fig.width=4, fig.height=4, error=F,echo=F,prompt=F,warning=F}
bw_dir <- "/Volumes/DATA/DATA/Puck/bigwig//"
BWs_Rloop <- paste0(bw_dir,list.files(bw_dir,pattern="Rloop_.+_combined.bw"))
plot_profile_Rloop_DKO <- plot_bw_profile(bwfiles = BWs_Rloop,loci = "../peaks/G4_CnT_combined_peaks_DESeq_DKO_sig.bed", mode="center", labels = clean(BWs_Rloop),show_error=T,colors = mypal, verbose=F, remove_top=0.001) + scale_y_continuous(limits=c(0,15))
plot_profile_Rloop_DKO 
```
```{r fig.width=4, fig.height=4, error=F,echo=F,prompt=F,warning=F}
plot_profile_Rloop_DHX36 <- plot_bw_profile(bwfiles = BWs_Rloop,loci = "../peaks/G4_CnT_combined_peaks_DESeq_DHX36_sig.bed", mode="center", labels = clean(BWs_Rloop),show_error=T,colors = mypal, verbose=F) + scale_y_continuous(limits=c(0,15))
plot_profile_Rloop_DHX36
```

```{r fig.width=4, fig.height=4, error=F,echo=F,prompt=F,warning=F}
plot_profile_Rloop_FANCJ <- plot_bw_profile(bwfiles = BWs_Rloop,loci = "../peaks/G4_CnT_combined_peaks_DESeq_FANCJ_sig.bed", mode="center", labels = clean(BWs_Rloop),show_error=T,colors = mypal, verbose=F) + scale_y_continuous(limits=c(0,15))
plot_profile_Rloop_FANCJ
```

```{r fig.width=4, fig.height=4, error=F,echo=F,prompt=F,warning=F}
plot_profile_Rloop_nonsig <- plot_bw_profile(bwfiles = BWs_Rloop,loci = "../peaks/G4_CnT_combined_peaks_DESeq_nonsig.bed", mode="center", labels = clean(BWs_Rloop),show_error=T,colors = mypal, verbose=F) + scale_y_continuous(limits=c(0,15))
plot_profile_Rloop_nonsig
```

```{r}
ggsave("plots/profile_Rloop_DHX36.pdf",plot_profile_Rloop_DHX36,width = 3, height= 3)
ggsave("plots/profile_Rloop_FANCJ.pdf",plot_profile_Rloop_FANCJ,width = 3, height= 3)
ggsave("plots/profile_Rloop_DKO.pdf",plot_profile_Rloop_DKO,width = 3, height= 3)
ggsave("plots/profile_Rloop_nonsig.pdf",plot_profile_Rloop_nonsig,width = 3, height= 3)
``` 


```{r fig.width=6, fig.height=3, error=F,echo=F,prompt=F,warning=F}

zmax <- 25

r1 <- plot_bw_heatmap(BWs_Rloop[4],"../peaks/G4_CnT_combined_peaks_DESeq_sig_categories.bed", mode="center", verbose=F,zmax = zmax, order_by = ord)
r2 <- plot_bw_heatmap(BWs_Rloop[2],"../peaks/G4_CnT_combined_peaks_DESeq_sig_categories.bed", mode="center", verbose=F,zmax = zmax, order_by = ord)
r3 <- plot_bw_heatmap(BWs_Rloop[1],"../peaks/G4_CnT_combined_peaks_DESeq_sig_categories.bed", mode="center", verbose=F,zmax = zmax, order_by = ord)
r4 <- plot_bw_heatmap(BWs_Rloop[3],"../peaks/G4_CnT_combined_peaks_DESeq_sig_categories.bed", mode="center", verbose=F,zmax = zmax, order_by = ord)

plot_heatmap_Rloop <- ggarrange(r1,r2,r3,r4,p5,common.legend = T, ncol = 5)
ggsave("panels/heatmap_Rloop.pdf",plot_heatmap_Rloop,width = 6, height= 3)
plot_heatmap_Rloop
```

```{r fig.width=10, fig.height=5}

p <- ggdraw() +
  draw_plot(plot_heatmap_Rloop, x = .0, y = 0, width = .5, height = 1) +
  draw_plot(plot_profile_Rloop_DHX36, x = .5, y = 0.5, width = .25, height = .5) +
  draw_plot(plot_profile_Rloop_FANCJ, x = .5, y = 0, width = .25, height = .5) +
  draw_plot(plot_profile_Rloop_DKO, x = .75, y = 0.5, width = .25, height = .5) +
  draw_plot(plot_profile_Rloop_nonsig, x = 0.75, y = 0, width = .25, height = .5)
p
ggsave("panels/peak_Rloop_heatmap.pdf",p,width=10, height=5)
```

```{r fig.width=8, fig.height=3}

p <- ggdraw() +
  draw_plot(plot_profile_Rloop_DHX36, x = 0, y = 0, width = .33, height = 1) +
  draw_plot(plot_profile_Rloop_DKO, x = .33, y = 0, width = .33, height = 1) +
  draw_plot(plot_profile_Rloop_nonsig, x = 0.66, y = 0, width = .33, height = 1)
p
ggsave("panels/peak_Rloop_profiles.pdf",p,width=8, height=3)
```


```{r fig.width=2, fig.height=2}
cov_proHi <- bw_loci(BWs, loci = "../peaks/G4_CnT_combined_peaks_DESeq_DKO_sig.bed",labels = clean(BWs))
covR_proHi <- bw_loci(BWs_Rloop, loci = "../peaks/G4_CnT_combined_peaks_DESeq_DKO_sig.bed",labels = clean(BWs))

df <- cbind(as.data.frame(cov_proHi)[6:9],as.data.frame(covR_proHi)[6:9])

colnames(df) <- c("FANCJ","DHX36","DKO","WT","R_FANCJ","R_DHX36","R_DKO","R_WT")
df2 <- log2(df) 
ggscatter(df,x ="WT",y="R_WT",size = 0.2, alpha=0.1) + geom_abline(slope = 1, intercept = 0, linetype="dashed", size=0.1) + coord_cartesian(xlim=c(0,100),ylim=c(0,100))
```

```{r fig.width=2, fig.height=2}
mdf <- melt(df)

ggviolin(mdf, x="variable",y="value",fill="variable",palette = mypal, add="mean_sd") +
  coord_cartesian(ylim=c(0,15))
```
